The Haystack Project is investigating approaches designed to let people manage their information in ways that make the most sense to them. By removing arbitrary application-created barriers, which handle only certain information “types” and relationships as defined by the developer, we aim to let users define their most effective arrangements and connections between views of information. Such personalization of information management will dramatically improve everyone’s ability to find what they need when they need it.
F. Brei, J. Frey, and L. Meyer. Proceedings of the Third International Workshop on Linked Data-driven Resilience Research 2024 (D2R2'24), colocated with ESWC 2024, volume 3707 of CEUR-WS, (2024)
J. Frey, L. Meyer, F. Brei, S. Gruender, and M. Martin. Proceedings of Special Track Large Language Models for Knowledge Engineering at Extended Semantic Web Conference 2024 (ESWC24), (2024)
S. Tramp, R. Usbeck, N. Arndt, J. Holze, and S. Auer. Proceedings of the International Workshop on Linked Data-driven Resilience Research 2023, volume 3401 of CEUR Workshop Proceedings, Hersonissos, Greece, (May 2023)
E. Marx, M. Valli, J. da Silva e Silva, S. Tiwari, and P. do Carmo. Joint Proceedings of the Second International Workshop on Knowledge Graph Generation From Text and the First International BiKE Challenge co-located with 20th Extended Semantic Conference (ESWC 2023), (2023)
S. Schmidt-Dichte, and I. Mócsy. Joint Proceedings of the Second International Workshop on Knowledge Graph Generation From Text and the First International BiKE Challenge co-located with 20th Extended Semantic Conference (ESWC 2023), (2023)
C. Stadler, L. Bühmann, L. Meyer, and M. Martin. 4th International Workshop on Knowledge Graph Construction @ ESWC 2023, volume 3471 of CEUR workshop proceedings, Hersonissos, Greece, (2023)
P. Fröhlich, J. Gwozdz, and M. Jooß. Joint Proceedings of the Second International Workshop on Knowledge Graph Generation From Text and the First International BiKE Challenge co-located with 20th Extended Semantic Conference (ESWC 2023), (2023)
N. Arndt, S. Gründer-Fahrer, J. Holze, M. Martin, and S. Tramp. Proceedings of the International Workshop on Data-driven Resilience Research 2022, volume 3376 of CEUR Workshop Proceedings, Leipzig, Germany, (July 2022)